Computer-based dynamic data analysis

Abstract

A computer-implemented method comprises storing data that aggregates statuses, uploaded by healthcare providers, of a plurality of patients for a plurality of medical conditions; receiving via a remote upload from a healthcare provider data that characterizes the status of the particular patient with respect to at least some of the plurality of medical conditions; providing for review by the healthcare provider data that graphs a plotted location that is indicative of the particular patient's values in a common graph with locations that are indicative of the other patients' values, and that highlights the particular patient's values relative to the other patients' values; and adding data for conditions of the particular patient to a database that aggregates the statuses of the plurality of patients.

What is claimed is: 
     
       1. A computer-implemented method for identifying a status of a particular patient with respect to multiple medical conditions, the method comprising:
 generating, with a computer system, an electronic data model that aggregates information from analytes for a population of tens of thousands of patients treated across multiple different healthcare systems and indicative of a plurality of medical conditions for particular ones of the population of patients that are common across the population of patients, the model trained by remote representatives from multiple different distributed healthcare systems adding analyte information for particular ones of their patients; 
 providing, with the computer system, a public computer portal through which the remote representatives from multiple different distributed healthcare systems are enabled to upload data for their patients, wherein the uploaded data is added to the data that aggregates, and in return for uploading the data for their patients, the representatives are provided data for displays indicating health of their respective patients; 
 receiving, via upload through the computer portal, data that characterizes analytes from the particular patient that are potentially indicative of presence or absence of at least a plurality of different medical conditions; 
 training the electronic data model by sequentially adding to the electronic data model data about analytes for additional particular patients, and arranging the resulting electronic data model including data for tens of thousands of patients for comparison to values for future particular patients; 
 producing for the particular patient and from the received data, (a) a value for a first condition indicated by a first plurality of analytes from the particular patient, (b) a value for a second condition indicated by a second plurality of analytes from the particular patient; 
 producing a statistical range or distribution for each of the first and second conditions for analytes for members of the population of patients; 
 generating graphical display data, with the server system, that displays a graph that indicates, on a first axis, the value of the first condition for the particular patient relative to the statistical range or distribution for members of the population of patients, and concurrently on a second axis, the value of the second condition of the particular patient relative to the statistical range or distribution for members of the population of patients, so as to present a reference set of values that graphically presents co-variance for the particular patient relative to members of the population of patients for the first and second conditions, arranged for review by a caregiver in determining a diagnosis for a condition of the particular patient; and 
 updating the electronic data model by adding data for conditions of the particular patient to a database that aggregates statuses of the plurality of patients, for conditions of the particular patient that are common to conditions of the plurality of patients, and making the updated electronic data model available for comparison to subsequently-uploaded data for other particular patients. 
 
     
     
       2. The computer-implemented method of  claim 1 , wherein the data that aggregates information from analytes for a population is analyzed using multivariate pattern recognition techniques. 
     
     
       3. The computer-implemented method of  claim 1 , wherein the data that graphs so as to present co-variance, graphs the particular patient positioned in relation to plotted locations for patients known to have been indicated to the computer system as having the first and second conditions. 
     
     
       4. The computer-implemented method of  claim 1 , wherein the data that characterizes analytes from the particular patient is expressed by data from laboratory markers. 
     
     
       5. The computer-implemented method of  claim 1 , wherein the data provided for review is formatted to present a scatter plot that shows positions of the particular patient among the members of the population of patients for the first and second conditions, wherein each axis of the scatter plot represents the likelihood of having a respective one of the first and second conditions. 
     
     
       6. The computer-implemented method of  claim 1 , further comprising receiving data from a registered user of the computer system, the data received from the registered user defining a tool developed by the registered user and for use by other users, for analyzing and expressing relative positions of patients with respect to a particular condition. 
     
     
       7. The computer-implemented method of  claim 6 , further comprising identifying that an administrator of the computer system has indicated that the tool is approved, and in response, making the tool available to other registered users of the computer system. 
     
     
       8. The computer-implemented method of  claim 1 , further comprising checking the received data that characterizes analytes from the particular patient at the time it is uploaded to confirm that the received data is within acceptable defined ranges. 
     
     
       9. The computer-implemented method of  claim 1 , wherein generating the graphical display data comprises identifying which conditions, of the plurality of conditions, are capable of being identified for the particular patient based on identifying analytes provided for the particular patient to the computer system. 
     
     
       10. One or more tangible computer-readable media having record thereon instructions that, when executed, perform operations comprising:
 generating, with a computer system, an electronic data model that aggregates information from analytes for a population of tens of thousands of patients with respect to a plurality of medical conditions for particular ones of the population of patients that are common across the population of patients, the model trained by remote representatives from multiple different distributed healthcare systems adding analyte information for particular ones of their patients; 
 providing, with the computer system, a public computer portal through which the remote representatives from multiple different distributed healthcare systems are enabled to upload data for their patients, wherein the uploaded data is added to the data that aggregates, and in return, the representatives are provided data for displays indicating health of their respective patients; 
 receiving, via upload through the computer portal, data that characterizes the analytes from the particular patient that are potentially indicative of presence or absence of at least a plurality of different medical conditions; 
 training the electronic data model by sequentially adding to the electronic data model data about analytes for additional particular patients of population of patients and arranging the resulting electronic data model including tens of thousands of patients for comparison to values for the particular patient; 
 producing for the particular patient and from the received data, (a) a value for a first condition indicated by a first plurality of analytes for the particular patient, and (b) a value for a second condition indicated by a second plurality of analytes for the particular patient; 
 producing a statistical range or distribution for each of the first and second conditions for analytes for members of the population of patients; 
 generating graphical display data that displays a graph that indicates, on a first axis, the value of the first condition for the particular patient relative to the statistical range or distribution for members of the population of patients, and concurrently on a second axis, the value of the second condition of the particular patient relative to the statistical range or distribution for members of the population of patients, so as to graphically represent, with a computer display, a reference set of values that graphically presents co-variance for the particular patient relative to members of the population of patients for the first and second conditions arranged for review by the caregiver in determining a condition of the particular patient; and 
 updating the electronic data model by adding data for conditions of the particular patient to a database that aggregates statuses of the plurality of patients for conditions of the particular patient that are common to conditions of the plurality of patients, and making the updated electronic data model available for comparison to subsequently-uploaded data for other particular patients. 
 
     
     
       11. The tangible computer-readable media of  claim 10 , wherein the data that aggregates information from analytes for a population is analyzed using multivariate pattern recognition techniques. 
     
     
       12. The tangible computer-readable media of  claim 10 , wherein the data that graphs so as to present co-variance, graphs the particular patient positioned in relation to plotted locations for patients indicated to the computer system as having the first and second conditions. 
     
     
       13. The tangible computer-readable media of  claim 10 , wherein the data that characterizes the analytes from the particular patient is expressed by data from laboratory markers. 
     
     
       14. The tangible computer-readable media of  claim 10 , wherein the graphical representation is formatted to present a scatter plot that shows positions of the particular patient among the population of patients for the first and second conditions, wherein each axis of the scatter plot represents the likelihood of having a respective one of the first and second conditions. 
     
     
       15. The tangible computer-readable media of  claim 10 , wherein the operations further comprise receiving data from a registered user of the computer system, the data received from the registered user defining a tool for analyzing and expressing relative positions of patients with respect to a particular condition. 
     
     
       16. The tangible computer-readable media of  claim 15 , wherein the operations further comprise identifying that an administrator of the computer system has indicated that the tool is approved, and in response, making the tool available to other registered users of the computer system. 
     
     
       17. The tangible computer-readable media of  claim 10 , wherein generating the graphical display data comprises identifying which conditions, of the plurality of conditions, are capable of being identified for the particular patient based on identifying analytes provided for the particular patient to the computer system.